The sample should be selected randomly.
less bias and error occur when sample size is larger
random sample
Bias
Sampling bias.
bias
Representative/random
less bias and error occur when sample size is larger
random sample
Random Sample
The answer is Random Sample
A randomly selected sample.
The most important step to ensure accuracy in a sample is random selection. By randomly choosing samples from the population, you minimize bias and increase the likelihood that your sample is representative of the entire population. This helps to draw reliable conclusions and make valid inferences based on the sample data.
random or blind
To achieve a scientifically valid sample for your study, ensure that your sample is representative of the population you are investigating. This can be done through random sampling methods, which help eliminate bias and improve generalizability. Additionally, determine an appropriate sample size using statistical power analysis to ensure that your findings are reliable. Finally, consider stratifying your sample to account for key demographic variables that may influence the results.
Selection, choice
A sample should be representative of the population it is drawn from, have enough data points to provide reliable conclusions, and be selected randomly or systematically to minimize bias. Additionally, samples should be sufficiently large to ensure statistical significance.
When a p-n junction is taken without a bias, it forms a PHOTO VOLTAIC CELL.